reatom-feedback-loop

Analyze failed instructions and propose preventive edits for Reatom guidance.

4|Updated May 12, 2026
One-click install
npx skills add https://github.com/Guria/reatom-skill --skill reatom-feedback-loop
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: reatom-feedback-loop
Source: https://github.com/Guria/reatom-skill/tree/main/skills/reatom-feedback-loop
Command: npx skills add https://github.com/Guria/reatom-skill --skill reatom-feedback-loop

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill helps you correct and improve Reatom guidance when earlier answers caused the agent to deviate, produce wrong process, or miss key execution gates, so the same failure mode is less likely to repeat.

Core Features & Use Cases

  • Process correction first: prioritizes the user’s immediate correction before discussing broader skill improvements.
  • Reusable lesson distillation: converts the failure into concrete, skill-oriented edits (gates, examples, evaluation prompts) instead of blaming the agent’s memory.
  • Failure-mode driven improvements: analyzes instruction-shape failures (what failed to constrain behavior) and places preventive rules in the right always-loaded or referenced guidance locations.

Quick Start

Ask an AI to run the Reatom feedback loop on your correction request, explicitly identifying which instruction or ordering constraint failed and proposing specific skill text, gate placement, or eval changes to prevent recurrence.

Frequently Asked Questions about reatom-feedback-loop

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I correct Reatom guidance when the agent follows the wrong scaffold workflow?

To correct Reatom guidance, analyze why the earlier instruction failed to constrain behavior, then distill the follow-up correction into preventive skill edits or evaluation prompts. This ensures the agent's scaffold workflow deviation is fixed durably rather than relying on memory adjustments.

What is instruction-shape failure in Reatom debugging?

Instruction-shape failure in Reatom debugging occurs when an earlier instruction fails to constrain agent behavior, causing process deviations or incorrect outcomes. Analyzing these failures helps identify where to place preventive rules in always-loaded or referenced guidance locations.

How do I stop an AI agent from repeating the same Reatom routing errors?

To stop repeating Reatom routing errors, convert the failure into concrete, skill-oriented edits like execution gates, examples, or evaluation prompts. This approach places preventive rules in the correct guidance locations instead of blaming agent memory.

Do I need a specific reference file to run a Reatom feedback loop?

Yes, running a Reatom feedback loop requires reading the skill's feedback-loop reference. This reference provides the necessary structure for performing deviation analysis and proposing specific skill text or gate placements to prevent recurrence.

What's the best way to improve Reatom skill instructions after a process correction?

The best way to improve Reatom skill instructions is to prioritize the immediate user fix first, then propose preventive skill edits or eval additions. This approach analyzes the instruction-shape failure and places rules in the right guidance locations rather than making future-tense promises.